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A machine used to fill gallon-sized paint cans is regulated so that amount of paint dispensed has a mean of 128 ounces and a standard deviation of 0.20 ounces. You randomly select 40 cans and carefully measure the contents. The sample mean of the cans is 127.9 ounces. Does the machine need to be reset? Explain your reasoning.
How is this relationship different from the bi-variate relationships?
We are establishing a quality control program for a process and need to establish the mean and standard deviation for the process. The first 10 batches had samples of size 5 taken.
Describe each of the following types of designs, explain its logic, and why the design does or does not address the selection threats of Trochim and Donnelly (2006):
One normal curve has mean 23 and standard deviation 1, a second normal curve has mean 5 and standard deviation 10. The curve that is more dispersed, or spread out, is
What information is provided by the numeral value of the Pearson correlation? What is the major distinction between the Pearson and Spear man correlations?
M&M Milk Chocolate candies colors are not all the same proportion. Blue consist of 24% of the bag pieces while Brown & Red only 13% each. The following was found:
Please help me with the attached pre-calculus questions. Use mathematical induction to prove that 6 is a factor of n (n + 1)(n + 2).
Average length of trout caught in Swanson lake is u=19.For a random sample of 51 fish caught the mean length was xbar=18.5 inches with estimated standard deviation s=3.2 inches.
what is the probability that at least 8 of the words on the test are words that the student knows?
In the context of this scenario, what would be the consequences of making a Type I error?
Construct ogive cure and numerical measures for the discrete data.
For the preceding problem you should find that there are significant differences among the three treatments. One reason for the significance is that the sample variances are small.
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